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NOVA: An agentic framework for automated histopathology analysis and discovery
Clinical Trial Inspector is an advanced AI agent designed to revolutionize how researchers, clinicians, and analysts explore clinical trial data. By combining Semantic Search, Retrieval-Augmented G…
All Algorithms implemented in Python
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Feather - Lightweight supervised slide foundation models (ICML 2025)
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
Biomni: a general-purpose biomedical AI agent
Foundation Model for Multiplex Spatial Proteomic Images
🦜🔗 The platform for reliable agents.
🤗 smolagents: a barebones library for agents that think in code.
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Accessible and interoperable whole slide image analysis
Standardized benchmark for computational pathology foundation models.
Toolkit for large-scale whole-slide image processing.
Pathology Foundation Model - Nature Medicine
MADELEINE: multi-stain slide representation learning (ECCV'24)
Open source tools for computational pathology - Nature BME
Vision-Language Pathology Foundation Model - Nature Medicine
Multimodal prototyping for cancer survival prediction - ICML 2024
Integrating histology and spatial transcriptomics - NeurIPS 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024
Analysis of 3D pathology samples using weakly supervised AI - Cell
Demographic bias in misdiagnosis by computational pathology models - Nature Medicine